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Zoekresultaten (7)

HBO/WO

MBO

26 januari 2021

COVID-19 data analysis using a parameterized R Markdown and Shiny

This repo is a demo on how to use parameters and an embedded Shiny app in R Markdown

Website

Marc Teunis

6 december 2023

Building interactive web apps with the R package shiny

Lecture about app development using the programming language R. Part of the Utrecht University research master course 'Markup Languages and Reproducible Programming in Statistics'. Both the interactive slides, as well as a static pdf version are shared.

Presentatie

Hanne Oberman

2025

A very short introduction to R

Being able to use a programming environment such as R is a valuable skill for our students. R provides opportunities for using larger and more complex datasets in practicals, case studies and theses. Compared to other programming languages, it is relatively easy to learn, which makes it suitable for education. Because R is open access, graduates can keep using it when they can no longer use the university’s software licences. “A (very) short introduction to R” teaches the basics in 1-2 hours with explanations and short exercises. This tutorial is used by lecturers worldwide. We expanded this tutorial to a series of self-study modules of 1-2 hours each. The modules can be used by: Lecturers who would like to use R in their computer practicals, but are afraid that learning R will consume time from the course content. The self-study modules enable these lecturers to use R with little time investment, since they can simply assign students to do (some of) the modules as preparation for their own computer practical. Students who lag behind in programming skills. The background of students in courses becomes increasingly diverse, which sometimes leads to discontent between advanced and less advanced students. With these modules the less advanced students can mend their deficits independently before they come to class, thereby levelling the differences between students and improving the learning experience of all. Students who are writing their BSc, MSc or PhD thesis. Without programming skills, students often fall back on Excel for processing and analysing data (which is often not suitable for the task) and their supervisors spend much time teaching them how to deal with the data. With the self-study modules, the supervisor’s time can be used more effectively to interact with the student about the scientific question to be tackled. Researchers and professionals who want to start using R. The modules are short and free of charge, which lowers the threshold for beginners.

Website

Claudia Brauer

2 juli 2025

Data Analysis and Visualization using R

Course is in English Learning outcomes: Apply Core R Programming Skills Learners will be able to write and execute R scripts using basic and complex data types, utilize built-in functions, and implement flow control structures to automate data analysis tasks. 2. Import, Clean, and Manipulate Data Learners will demonstrate the ability to read various data file formats, tidy and transform dataframes using both traditional methods and modern packages such as tidyr and dplyr, and handle date-time and text data efficiently. 3. Visualize Data Effectively Learners will create and customize data visualizations using the ggplot2 package, including revisiting advanced plotting techniques and adding interactivity to graphical outputs. 4. Perform Exploratory Data Analysis (EDA) Learners will conduct EDA using R, applying appropriate statistical summaries and visualizations to uncover patterns, trends, and insights from datasets. 5. Utilize R Packages and Resources Independently Learners will identify, install, and apply relevant R packages to extend functionality, troubleshoot code, and solve data analysis problems, including working through exercises and interpreting provided solutions. Duration Consists of 18 lessons Study points: 5 EC

Website

Michiel Noback

18 augustus 2025

Geoscripting

The course is not a pure programming course, but has a rather strong focus on programming and scripting to solve geographical or spatial applied problems. During the course you will learn how to deal with both vector spatial data and raster data; such as satellite imagery used in remote sensing studies. The programming languages dealt with during the course are R and python. Professionals in private companies and research institutes are increasingly using scripting languages for applied spatial analysis. We notice that students still have a kind of 'scripting' barrier to overcome. Some students are afraid of scripting and others stick very closely to the examples given. We like to relax this attitude. From the perspective of an advanced course we like to change the cookbook approach in favor of a more explorative approach. Becoming more relaxed towards scripting and a more explorative approach means that some generic scripting principles must be known to create a 'core' script. On the other hand students have to learn which libraries are available for spatial data analysis and visualization and how these libraries can be used within the 'core' script.

Website

Dainius Masiliunas, Arend Ligtenberg, Corné Vreugdenhil, Nandika Tsendbazar

4 mei 2021

Landscapes | Contested GM Worldviews - (Andrew Flachs)

An article in Scientific American (https://edu.nl/4r6q7) bringing a science and technology studies lens to Genetically Modified Organisms, provoked louder than normal responses from the pro biotech crowd. What can we learn from the exchange? Dr Andrew Flachs, Associate Professor of Anthropology at Purdue University, studied the role of seeds on farmer livelihoods in rural India as part of his book, Cultivating Knowledge. We discuss the arguments of the article and its malcontents to try and reach a broader understanding of what this debate is really about. Episode Links Andrew Flachs personal website. On Twitter Cultivating Knowledge: Biotechnology, Sustainability, and the Human Cost of Cotton Capitalism in India, By Andrew Flachs. How Biotech Crops Can Crash and Still Never Fail, by Aniket Aga and Maywa Montenegro de Wit, Scientific American. Is Biotechnology Just New Colonialism? Talking Biotech Podcast, Dr. Kevin Folta. 'Woke' Scientific American Goes Anti-GMO, American Council on Science and Health, Cameron English. Whose Science? Whose Knowledge? Sandra Harding. A History of the World in Seven Cheap Things, Jason Moore and Raj Patel. Capitalism in the Web of Life: Ecology and the Accumulation of Capital, Jason Moore Works of Sidney Mintz. R. Vasavi’s work on the Green Revolution: Harbingers of Rain: Land and life in South Asia. Shadow Space: Suicides and the Predicament of Rural India. Paul Robbins’ contributions to the Intended Consequences Rock, J. (2019). “We are not starving:” challenging genetically modified seeds and development in Ghana. Culture, Agriculture, Food and Environment, 41(1), 15-23. Dowd-Uribe, B. (2014). Engineering yields and inequality? How institutions and agro-ecology shape Bt cotton outcomes in Burkina Faso. Geoforum, 53, 161-171. Andrew Flachs and Paul Richards on the role of performance on agricultural systems. Indian millet hunger reduction program. Learning to Love G.M.O.s, by Jennifer Kahn, The New York Times Montenegro de Wit, M., Kapuscinski, A. R., & Fitting, E. (2020). Democratizing CRISPR? Stories, practices, and politics of science and governance on the agricultural gene editing frontier. Elementa: Science of the Anthropocene, 8. Genetically Modified Democracy, by Aniket Aga. Freedom Farmers: Agricultural Resilience and the Black Freedom Movement Researchers can restore the American chestnut through genetic engineering. But at what cost? The Counter Landscapes is produced by Adam Calo. A complete written transcript of the episode can be found on Adam’s newsletter: Land Food Nexus. Send feedback or questions to adamcalo@substack.com. Music by Blue Dot Sessions: “Kilkerrin” by Blue Dot Sessions (www.sessions.blue). You can find full transcripts of the episodes and more information at https://adamcalo.substack.com/

Audio

Adam Calo

16 december 2019

Workplace aggression amongst student nurses

Study about aggression against nurses. Main question To what extent are students of nursing program at the Hague University of Applied Sciences skilled in dealing with occurring aggression? Goals: Mapping the aggression in which students of the college of nursing have to deal with. Gathering experiences of students with aggression incidents. Empirically leading to a program for the students learning to deal with aggression in a safe way.

HboPresentatie

PhD W.A. Janssen